摘要
决策时间紧迫、发病不确定性及缺乏循证医学证据等客观原因造成突发急性传染病中医诊疗方案的建立具有一定的特殊性,需要充分利用古代文献,采用数据挖掘技术,以证候为中心进行发热伴呼吸道、发热伴出疹、发热伴腹泻、发热伴出血、发热伴脑炎脑膜炎这五大症候群的中医诊疗规律研究,在此基础上开发中医应急决策系统,使用适当的人工智能技术,结合广泛的专家共识,形成诊疗预案以及候选方案,为最终诊疗方案的决策提供有效支持。进而通过规范的临床研究对诊疗方案进行评价,为方案的优化、更新以及相似疫情预案的制定提供更高级别证据。
There are certain specialty in the establishment on diagnostic and treatment protocols in traditional Chinese medicine( TCM) for the outburst of acute infectious diseases due to the pressing time for decision-making,uncertainty of incidence and the lack of proof for evidence-based medicine. Ancient literature should be fully explored and data mining technology should be applied to build a TCM diagnostic and treatment pattern for five symptom groups including fever with respiratory symptoms,fever with rash,fever with diarrhea,fever with bleeding and fever with meningitis. On the basis of this,TCM Emergency Decision Support System( EDSS) should be developed with appropriate artificial intelligence technology and broad experts' consensus,in order to make diagnostic and treatment plans and back-up plans for the final protocols. Normative clinical research need to be conducted to assess the protocols and deliver higher grade evidence for optimization and update,as well as for the plans of similar epidemic situations.
出处
《中医杂志》
CSCD
北大核心
2015年第1期20-22,共3页
Journal of Traditional Chinese Medicine
基金
"十二五"国家科技重大专项(2012ZX10004301)
国家中医药管理局中医药行业科研专项(200907001-9)
关键词
突发传染病
急性传染病
中医诊疗方案
应急决策支持系统
outburst of infectious diseases
acute infectious diseases
diagnostic and treatment protocols in traditional Chinese medicine
Emergency Decision Support System